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AI モデル 84759

• Kolibri-1-MLX-3bit↗

  velaia

• QVikhr-2.5-1.5B-Instruct-SMPO_GGUF↗

  Vikhrmodels

• Qwen3-4B-toolcall-GGUF↗

  wesjos

• whisper-medium.en↗

  Xenova

• RadBERT-RoBERTa-4m↗

  zzxslp

  This is one variant of our RadBERT models trained with 4 million deidentified medical reports from US VA hospital, which achieves stronger medical language understanding performance than previous medical domain models such as BioBERT, Clinical-BERT, BLUE-BERT and BioMed-RoBERTa. Performances are evaluated on three tasks: (a) abnormal sentence classification: sentence classification in radiology reports as reporting abnormal or normal findings; (b) report coding: Assign a diagnostic code to a given radiology report for five different coding systems; (c) report summarization: given the findings section of a radiology report, extractively select key sentences that summarized the findings. For details, check out the paper here: RadBERT: Adapting transformer-based language models to radiology

• Qwen-Image-2.1-viggle-turbo-5x↗

  0xSojalSec

• MathBERT-mamut↗

  aieng-lab

• chatterbox-tts-norwegian↗

  akhbar

• qvq-plus-2025-05-15↗

  阿里巴巴 · Qwen

• OlmoEarth-v1_2-Tiny↗

  allenai